Enforce AI policy without slowing anyone down
Enforce budget and quality controls, access to models, and data policy across all your human and agentic builders, without locking anyone into a single provider or stack.
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Every AI request is a policy decision, but nothing is checking it
An AI coding request selects a model, a tool, and a cost. Those decisions are made thousands of times a day, increasingly by agents acting independently, without a human in the loop. In many organizations, nothing checks any of those decisions against policy.
Defaults nobody chose
A flagship model runs routine work because it's the default, not because anyone proved it was the best route
Shadow usage
Builders and agents use models through tools and accounts that never went through security review
Unenforceable policy
An approved-model list in a wiki has no way to stop a request that simply
ignores it
Usage caps ≠ governance
When an unexpectedly high AI bill arrives, blanket usage caps are often the first act of governance. The problem is that usage caps stop the highest-leverage developer and a thrashing agent at exactly the same threshold. Real AI governance enforces policies on model routes and leaves an audit trail behind. It transforms validated business and policy decisions into guardrails that guide AI coding work in real time.
Governance in place where the work actually happens
Faros records every AI session, enforces policy on each request, and keeps the evidence, no matter which harnesses, routers, and models your builders are running. Guardrails replace usage caps, so the teams producing the most are the last ones you have to slow down.
AI spend control by policy
Set usage quotas by team, project, or business unit, and decide what happens as one is approached: throttle lower-priority workloads, reroute them to a cheaper model, or escalate for approval.
Policy enforced where the call happens
Define which models, harnesses, and configurations each team may use. Faros enforces that list in the request path, so unapproved models and unreviewed tools used in “shadow mode” do not get through. Already run your own gateway? Let Faros drive yours instead.
Understanding of what to protect and what to cut
See which teams are inside their quota and whichare about to breach it, before the invoice arrives.Trace the overspend to the model and harnesscombinations behind it, so you can move the budgetor change the route.
An audit trail you can hand off
Access a complete record of AI activity for a repo, a
team, or a time window: every session, the model
behind it, the policy in force, and what it cost.
Certified for SOC 2, ISO 27001, GDPR and CSA
STAR, and deployable as SaaS, hybrid, or on prem.
Enterprise-grade security
Faros is built to enterprise-grade standards and is SOC 2 Type II, ISO 27001, and GDPR compliant. Your data never leaves your boundary. Learn more about security practices.
What’s new at Faros
The Speed Trap: 8 takeaways from our latest AI engineering research
AI made software development faster, but review gaps, QA bottlenecks, and rising incident volume reveal a new risk: the Speed Trap.
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Find out what your AI has been doing
Bring your repo and a time window. We will show you the record: every session, the models behind it, the policy in force, and what it cost, then how to enforce the policy you actually want without slowing down your builders.